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Why
EngageIQ has two distinct user types - students and teachers - with different permissions, different dashboards, and
different data access. A teacher can see class-level analytics but not individual ...
infra
m1
Catalog ID (existing)
sdcdc:B-BAMT77-20260529-18
Dataset identifier
data-catalogB-BAMT77-20260529-18
Dataset title (optional)
hello
Dataset description (optional)
No response
Dataset use case (optional) ...
catalog-edit-dataset
catalog-intake
Why
The webcam runs in the browser. The CV pipeline runs on the backend. WebSocket is the bridge between them. Unlike HTTP
requests (which require a new connection for each frame), WebSocket maintains ...
infra
m1
Web page
index.html
Why
Every CV module in EngageIQ starts with a webcam frame. Face detection needs frames. Drowsiness detection needs frames.
Expression classification needs frames. If the frame capture pipeline is unreliable ...
cv
infra
m1
Why
The database schema defines every data relationship in EngageIQ. Users enroll in courses. Courses have sessions.
Sessions generate engagement logs. Engagement triggers nudges. Analytics produce reports. ...
infra
m1
Start: 2026-06-08 17:24 UTC
Lane: Lane 11 -- Phase 2 fixdep dual-implementation.
Bounded objective: add a non-overlapping target-slash public-entry proof for scripts/zigux/fixdep.zig, validating that ...
Why
Without automated CI, broken code slips into dev unnoticed. A contributor pushes code with a syntax error, another
contributor pulls it, and now two people are debugging instead of building. CI catches ...
infra
m1
Why
Before anyone writes a single line of detection code, the project needs a clean, consistent structure that every
contributor can clone and immediately start working in. Without this, four people will ...
infra
m1

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